Market ForcastCore Concept:
It analyzes a recent segment of price data (user-defined length).
It searches backwards in historical data for similar sequences using one of several similarity methods (e.g., Pearson, Cosine, Euclidean, etc.).
Once a match is found, it projects the future movement from that past pattern onto the present, visualizing how the price may move next.
⚙️ How It Works:
1. Data Preparation:
Gathers historical price or percent change data into arrays.
Defines the "recent" segment (length = Correlation Length) as the pattern to match.
Searches backward over Bars Back To Search length to find a matching sequence.
2. Similarity Matching:
Compares each past sequence to the current one using the selected similarity method:
Cosine Similarity (default): Angle between vectors.
Pearson / Spearman / Kendall: Statistical correlation.
Euclidean: Distance between points.
MSE (Mean Squared Error): Variance difference.
3. Forecasting:
Once the most similar historical sequence is found, the price movement that followed it is used as a forecast.
Forecast is drawn as:
A dotted line (ponly) showing projected price direction.
An optional ZigZag (zonly) drawn using projected highs and lows.
Optionally, a linear regression channel around the projected line.
4. Visualization:
Draws:
Two boxes: One around the original pattern found in history, and one for the forecasted period.
Optional ZigZag projections connecting the high/low points of the forecast.
Optional Linear Regression Channel with standard deviation bounds.
Forecast line via dotted segments.
📊 User Inputs Include:
Correlation Length: Size of the recent pattern to match.
Forecast Length: How far into the future to project.
Similarity Method: Choice of similarity algorithm.
Search Range: How many past bars to search through.
Visual toggles for ZigZag, price line, and regression channel.
📈 Use Case:
This script is intended for pattern forecasting or cycle recognition, useful in markets with repetitive behavior. It’s experimental and not for blind execution, but can offer visual guidance for anticipating movement based on historical patterns.
Penunjuk dan strategi
FVG Alerts (Vortus)Fair Value Gaps (FVGs) represent price inefficiencies where buying and selling volumes are imbalanced, creating gaps between the wicks of consecutive candles. These gaps often act as magnets for price, as markets tend to "fill" these gaps before resuming their trend.
FVGs can signal potential entry or exit points, making them a valuable tool for traders looking to exploit these price inefficiencies.
Custom Cloud Tops & BottomsThe Custom Cloud Tops & Bottoms Indicator is an Ichimoku-inspired tool designed to help traders identify market trends, reversals, and optimal trading opportunities. It plots a dynamic cloud using fast (9) and slow (26) Exponential Moving Averages (EMAs), marks market tops and bottoms with pivot-based signals, and generates buy/sell signals based on cloud breakouts confirmed by RSI momentum. This versatile indicator is suitable for swing trading, day trading, or trend following across various markets (e.g., stocks, forex, crypto) and timeframes.
Features
• Cloud: A forward-shifted cloud (default: 9 bars) that acts as dynamic support/resistance. Green indicates a bullish trend (fast EMA > slow EMA), and red indicates a bearish trend (fast EMA < slow EMA).
• Tops and Bottoms: Pivot points mark potential market reversals, confirmed by cloud rejections. Tops are shown with red triangles and diamonds, bottoms with green triangles and diamonds.
• Buy/Sell Signals: Generated when price breaks above (buy) or below (sell) the cloud, with RSI confirming momentum. Buy signals appear as green circles and squares, sell signals as red circles and squares.
• Customizable Parameters: Adjust EMA lengths, cloud offset, pivot lookback, and RSI settings to suit your trading style.
Setup Instructions
1. Add the Indicator to TradingView:
• Open TradingView and navigate to the Pine Editor (bottom panel).
• Copy and paste the indicator’s script into the editor.
• Click Save and name the script (e.g., “Custom Cloud Indicator”).
• Click Add to Chart to apply the indicator to your active chart.
2. Configure Settings:
• Click the gear icon next to the indicator’s name in the chart’s legend to open the settings.
• Adjust the following inputs as needed:
• Fast EMA Length (default: 9): Controls the sensitivity of the fast EMA. Lower values make the cloud more responsive to price changes.
• Slow EMA Length (default: 26): Controls the smoothness of the slow EMA. Higher values create a broader cloud.
• Cloud Offset (default: 9): Number of bars to shift the cloud forward, similar to Ichimoku’s projection. Increase for longer-term projections.
• Pivot Lookback (default: 5): Number of bars to look back for detecting tops and bottoms. Smaller values detect more frequent pivots; larger values detect major reversals.
• RSI Length (default: 14): Period for RSI calculation. Adjust for more or less sensitivity to momentum.
• RSI Overbought (default: 70): RSI level above which buy signals are filtered out to avoid overbought conditions.
• RSI Oversold (default: 30): RSI level below which sell signals are filtered out to avoid oversold conditions.
• Click OK to apply changes.
3. Choose a Timeframe:
• The indicator works on any timeframe. Use:
• Lower timeframes (e.g., 5m, 15m) for day trading or scalping (expect more signals but potential noise).
• Higher timeframes (e.g., 1h, 4h, daily) for swing trading or trend following (fewer but more reliable signals).
• Test the indicator on your preferred asset (e.g., BTC/USD, AAPL, EUR/USD) to ensure compatibility.
4. Set Alerts (Optional):
• To receive notifications for tops, bottoms, or buy/sell signals:
• Right-click on the chart and select Create Alert.
• Choose the indicator from the dropdown and select conditions (e.g., “Buy Signal” or “Market Top”).
• Configure the alert (e.g., email, SMS, or popup) and save.
Interpreting Signals
The indicator provides visual cues to guide your trading decisions. Here’s how to interpret each component:
1. Cloud:
• Green Cloud: Indicates a bullish trend (fast EMA > slow EMA). Price above the cloud suggests strong bullish momentum; consider long positions.
• Red Cloud: Indicates a bearish trend (fast EMA < slow EMA). Price below the cloud suggests strong bearish momentum; consider short positions or exiting longs.
• Cloud as Support/Resistance: The cloud’s edges act as dynamic levels. Price approaching the cloud may bounce (support/resistance) or break through (trend change).
2. Tops and Bottoms:
• Red Triangles/Diamonds (Tops): Mark potential market peaks where price is above the cloud, indicating a pivot high. Use these as signals to:
• Sell or take profits on long positions.
• Enter short positions if bearish confirmation (e.g., price breaks below cloud).
• Green Triangles/Diamonds (Bottoms): Mark potential market lows where price is below the cloud, indicating a pivot low. Use these as signals to:
• Buy or enter long positions if bullish confirmation (e.g., price breaks above cloud).
• Close short positions.
• Confirmation: Tops and bottoms are more reliable when confirmed by other indicators (e.g., volume spikes, support/resistance levels).
3. Buy/Sell Signals:
• Green Circles/Squares (Buy Signals): Triggered when price crosses above the cloud, RSI is not overbought (<70), and RSI crosses above 50 (bullish momentum). Actions:
• Enter long positions.
• Place stop-loss below the cloud or recent low.
• Red Circles/Squares (Sell Signals): Triggered when price crosses below the cloud, RSI is not oversold (>30), and RSI crosses below 50 (bearish momentum). Actions:
• Enter short positions or exit longs.
• Place stop-loss above the cloud or recent high.
• Context: Signals are stronger when aligned with the cloud’s trend (e.g., buy signals in a green cloud, sell signals in a red cloud).
Trading Tips
To maximize the indicator’s effectiveness, follow these best practices:
1. Confirm Signals with Other Tools:
• Use additional indicators like MACD, Bollinger Bands, or volume to validate tops, bottoms, and signals.
• Check key support/resistance levels or Fibonacci retracements to confirm entry/exit points.
2. Align with Trend:
• In a green cloud (bullish), prioritize buy signals and be cautious with sell signals.
• In a red cloud (bearish), prioritize sell signals and be cautious with buy signals.
3. Manage Risk:
• Always use a stop-loss to protect against false signals (e.g., below the cloud for longs, above the cloud for shorts).
• Apply proper position sizing based on your risk tolerance (e.g., risk 1-2% of account per trade).
4. Avoid Choppy Markets:
• In sideways markets, the cloud may produce frequent false signals. Look for low volatility (e.g., narrow cloud) and avoid trading until a clear trend emerges.
• Use higher timeframes (e.g., 4h, daily) to filter out noise.
5. Backtest First:
• Test the indicator on your chosen asset and timeframe using TradingView’s Strategy Tester or manual backtesting.
• Evaluate win rate, risk/reward ratio, and signal frequency to ensure it fits your strategy.
6. Timeframe Selection:
• Day Trading: Use 5m, 15m, or 1h charts for frequent signals, but confirm with higher timeframes (e.g., 4h) for trend direction.
• Swing Trading: Use 4h, daily, or weekly charts for reliable signals and longer-term trades.
Customization
The indicator is highly customizable to adapt to different markets, timeframes, or trading styles:
1. Adjust Input Parameters:
• EMA Lengths: Shorten (e.g., 5/13) for faster markets (crypto), lengthen (e.g., 12/36) for slower markets (stocks).
• Cloud Offset: Increase (e.g., 12) for longer-term projections, decrease (e.g., 5) for shorter-term analysis.
• Pivot Lookback: Decrease (e.g., 3) for more frequent tops/bottoms, increase (e.g., 7) for major reversals.
• RSI Settings: Tighten overbought/oversold levels (e.g., 80/20) for conservative signals, loosen (e.g., 65/35) for more signals.
2. Modify Visuals:
• Edit the script to change colors (e.g., replace color.green with color.blue for buy signals).
• Adjust shape sizes (e.g., change size.tiny to size.small) or styles (e.g., shape.circle to shape.cross) in plotshape calls.
3. Add Alerts:
• Customize alerts for specific signals (e.g., “Buy Signal” or “Market Top”) to automate notifications.
4. Extend Functionality:
• Contact the script’s author or a Pine Script developer to add features like:
• Text labels for signals (if compatible with your TradingView version).
• Additional momentum indicators (e.g., MACD, Stochastic).
• Automated trading strategies based on signals.
Limitations
While powerful, the indicator has some limitations to be aware of:
1. Lagging Signals:
• EMAs and RSI are lagging indicators, so signals may appear after price has already moved. Use in trending markets for best results.
2. False Signals in Choppy Markets:
• Sideways or low-volatility markets can produce frequent false signals. Confirm with other tools or wait for a breakout.
3. Timeframe Sensitivity:
• Lower timeframes (e.g., 1m, 5m) generate more signals but are noisier. Higher timeframes (e.g., 4h, daily) are more reliable but slower.
4. Market Dependency:
• Performance varies by asset. Backtest on your specific market (e.g., forex, stocks, crypto) to optimize settings.
5. No Guarantee of Profits:
• The indicator is a tool, not a crystal ball. Combine it with a solid trading plan, risk management, and market analysis.
Example Trading Scenario
Asset: BTC/USD on a 4h chart
Setup:
• Fast EMA: 9, Slow EMA: 26, Cloud Offset: 9, Pivot Lookback: 5, RSI: 14 (70/30).
• Price is below a red cloud, indicating a bearish trend.
Steps:
1. Spot a Bottom: A green triangle and diamond appear below a candle, indicating a pivot low below the cloud (potential reversal).
2. Wait for Confirmation: Price moves toward the cloud. RSI rises but stays below 70 (not overbought).
3. Enter on Buy Signal: A green circle and square appear when price crosses above the cloud, and RSI crosses above 50. Enter a long position at the close of the signal candle.
4. Set Risk Management:
• Stop-Loss: Place below the recent low or cloud bottom (e.g., 5% below entry).
• Take-Profit: Target the next resistance level or a 2:1 risk/reward ratio.
5. Monitor: If a red triangle/diamond (top) appears, consider taking partial profits. Exit if a sell signal (red circle/square) occurs.
Outcome: The trade captures a bullish move as price stays above the green cloud, confirmed by RSI momentum.
Getting Started
1. Apply the Indicator: Follow the setup instructions to add it to your chart.
2. Test on a Demo Account: Use TradingView’s paper trading or a broker’s demo account to practice with the indicator.
3. Join the Community: Share your experience or ask questions in TradingView’s comments section (if published) or relevant trading forums.
4. Provide Feedback: If you have suggestions (e.g., adding alerts, modifying visuals), contact the script’s author for updates.
Why Use This Indicator?
The Custom Cloud Tops & Bottoms Indicator simplifies complex market analysis with a clear, Ichimoku-inspired cloud, precise reversal signals, and momentum-driven entries. Whether you’re a beginner or an experienced trader, it provides actionable insights to catch trends and reversals with confidence.
Happy Trading!
For support, customization, or questions, leave a comment (if published on TradingView) or contact the script’s author. Enjoy using the indicator, and trade wisely!
BLCKBOX Moving Average RibbonThe BLCKBOX Moving Average Ribbon is a simple moving average ribbon overlayed on the chart with the following timeframes;
7, 21, 42, 90, 180, 365
I hope you find this indicator useful. I have released several indicators that can be used in conjunction to hopefully improve your chances of making a ton of money!
BLCKBOX indicators include;
BLCKBOX Buying / Selling Sentiment
BLCKBOX MACD Indicator
BLCKBOX Relative Strength Index
BLCKBOX Crypto Bear Market Prediction
BLCKBOX Stochtastic
BLCKBOX EMA Cross Study
BLCKBOX Moving Average Ribbon
If you find this or any other indicator useful and wish to show your gratitude, you may!
Doge
DJwW7XazGk2R8nXjt8y5ydQfGKYSz3XV3h
Litecoin
ltc1qh8t4dmz8sugjcd5unn0g49985u0tz5gs6kf98y
Bitcoin
bc1q0deh9t9w9tm3qgd3npn7965rzel35qumez7m5v
Ethereum
0xa23a7bbde03ea31f5cce4b115c8ef1ea8bc9f467
Pepe
Pr7DZSXKwVGv7LYhRQ9oSuuWxUecc3Dvwq
BLCKBOX EMA Cross StudyThe BLCKBOX EMA Cross Study is a simple EMA ribbon overlayed on the chart with the following timeframes;
7, 14, 21, 42, 90, 180
I hope you find this indicator useful. I have released several indicators that can be used in conjunction to hopefully improve your chances of making a ton of money!
BLCKBOX indicators include;
BLCKBOX Buying / Selling Sentiment
BLCKBOX MACD Indicator
BLCKBOX Relative Strength Index
BLCKBOX Crypto Bear Market Prediction
BLCKBOX Stochtastic
BLCKBOX EMA Cross Study
If you find this or any other indicator useful and wish to show your gratitude, you may!
Doge
DJwW7XazGk2R8nXjt8y5ydQfGKYSz3XV3h
Litecoin
ltc1qh8t4dmz8sugjcd5unn0g49985u0tz5gs6kf98y
Bitcoin
bc1q0deh9t9w9tm3qgd3npn7965rzel35qumez7m5v
Ethereum
0xa23a7bbde03ea31f5cce4b115c8ef1ea8bc9f467
Pepe
Pr7DZSXKwVGv7LYhRQ9oSuuWxUecc3Dvwq
Weekly Moving Averages (MAs) to Intraday ChartThis indicator overlays key weekly timeframe moving averages onto your intraday chart, allowing you to visualize important long-term support and resistance levels while trading shorter timeframes. The indicator includes:
330-period Simple Moving Average (white): Ultra long-term trend indicator
200-period Simple Moving Average (fuchsia): Major long-term trend indicator often watched by institutional traders
100-period Simple Moving Average (purple): Medium-to-long term trend indicator
50-period Exponential Moving Average (blue): Medium-term trend indicator, more responsive to recent price action
21-period Exponential Moving Average (teal): Short-to-medium term trend indicator
9-period Exponential Moving Average (aqua): Short-term trend indicator, highly responsive to recent price movements
This multi-timeframe approach helps identify significant support/resistance zones that might not be visible on your current timeframe. When price interacts with these weekly moving averages during intraday trading, it often signals important areas where institutional orders may be placed.
The indicator uses color-coding with increasing line thickness to help you quickly distinguish between different moving averages. Consider areas where multiple MAs cluster together as particularly strong support/resistance zones.
Perfect for day traders and swing traders who want to maintain awareness of the bigger picture while focusing on shorter-term price action.
Key MA 1 day 1 week lookbacks on lower TF MA + Alerts📊 Example Conversions:
This indicator takes the daily moving averages (1-day lookback) — such as the 20-day or 50-day simple/ema — and plots them onto lower timeframes like the 5-minute or 15-minute chart. This is a powerful way to:
Overlay higher timeframe structure (like trend direction or support/resistance)
While analyzing lower timeframe setups or entries
Helping you stay aligned with the macro trend while trading intraday
Higher TF MA
If you plot the 1MA on the Daily chart, the equivalet to that on a lower time frame
is the following:
Daily Chart MA converted to a 15min Chart MA
1,5,20,50 = 15min Chart MA 26,130,520,1300
Daily/
1 day MA = 15min/26 MA
5-day MA = 15min / 130MA
20-day MA = 15min/520MA
50-day MA = 15min/1300MA
Daily Chart MA = 5min Chart MA
1,5,20MA = 78,390,1560MA
On a 5-minute chart:
Higher TF MA
5-Min Equivalent
1-day MA = 5min/78MA
5-day MA = 5min/390MA
20-day MA = 5min/1560MA
On a 1 Hour Chart
1 day MA = 1 Hr
5 day MA = 1 Hr
20 day MA = 1 Hr
1-Hour Equivalent (use 65 minutes)
Daily Chart
1,5,20MA =
1 Hr Chart (65min chart)
7MA,33MA,130 MA
1-day MA
7 (6.5 rounded)
1-week MA
33
20-day MA
130
1-month MA (21 days)
138
Composite RSI Dynamic Fibonacci LevelsHello TradingView Community! I'm excited to introduce "RSI Composite Pro V2", a comprehensive technical analysis tool that combines the power of the classic RSI with the Composite RSI, which allows comparison with a different asset.
This indicator includes many features to help you evaluate the market from different angles:
Key Features:
Classic RSI: Measures the momentum of the asset itself.
Composite RSI: Calculates the performance of the asset on your chart relative to another asset you specify (e.g., an index). Helps you understand relative strength or weakness.
Regular and Hidden Divergences: Automatically detects and plots both bullish and bearish divergences on both Classic RSI and Composite RSI. Crucial for identifying potential trend reversals or continuations. 📉📈
Composite RSI Fibonacci Levels: Automatically draws Fibonacci levels based on the high and low points of the Composite RSI over a specified lookback period. Visualizes potential support and resistance areas. ✨
Multiple Moving Averages (MA): You can add different MA types (SMA, EMA, SMMA, WMA, VWMA) to both Classic RSI and Composite RSI.
Bollinger Bands (BB): You can show Bollinger Bands along with the SMA to analyze volatility and potential overbought/oversold regions.
Flexible Composite Symbol Selection: You can choose between Automatic (detects BIST/NASDAQ/NYSE based on the chart), Manual, or predefined indices (XU100, NDX, SPX). 🌐
Adjustable Parameters: You can adjust many parameters like RSI length, Fibo lookback period, MA/BB settings, divergence lookback values, etc., to suit your strategy. ⚙️
Visual Enhancements: Colored fills for RSI levels and clear drawings and labels for divergences. 🎨
Alert Conditions: Set alerts for detected divergences so you don't miss opportunities. 🔔
How It Works:
Classic RSI measures the asset's own momentum, while Composite RSI shows the asset's performance relative to another asset you choose. Divergences provide potential reversal signals by finding discrepancies between price action and the RSI/Composite RSI. Fibo levels identify potential support/resistance areas for the Composite RSI.
Important Notes:
⚠️ Divergences and Repaint Risk: Divergence detection evaluates past peaks/troughs relative to future data, which can lead to repaint (signal change) risk. Signals are fixed historically; you can reduce the repaint effect by decreasing the lookback values.
This indicator is solely an analysis tool and does not constitute financial advice. You are responsible for your own buy/sell decisions.
Conclusion:
I hope this indicator adds value to your analysis and gives you an edge in the market. If you have any questions, feedback, or suggestions, please feel free to leave them in the comments.
Wishing you success! 🙏
OTC COT / smart money Index 2.0 COT/ Smart money Indicator – Institutional Commitment & Position Sizing (Inspired by Bernd Skorupinski Methodology)
📈 Description:
This indicator focuses on visualizing net positions held by commercials (smart money) and other key market participants, using data from the Commitments of Traders (COT) report. Inspired by Bernd Skorupinski’s institutional approach, the tool works hand-in-hand with the COT Index to provide a full picture of institutional sentiment and positioning strength.
👉 Core Functionality:
Displays net-long and net-short positions over time, helping traders understand how heavily institutions are positioned in a market.
Highlights historical extremes in net positions, which can act as warning signs or entry points when combined with technical analysis.
Supports customizable timeframes and asset selection (commodities, forex, indices) for maximum flexibility.
Best used in combination with the COT Index, offering a layered view of both relative extremes (COT Index) and absolute exposure (Net Positions).
The tool is designed to act as a contextual filter—it should complement technical setups rather than provide standalone trade signals.
📊 Applied Example – Gold Trade Using COT Net Position Analysis
To show the practical application, here’s a breakdown of a Gold (GC1!) trade that leveraged both COT Index and COT Net Positions to identify a high-probability setup.
Step 1️⃣ – Identifying Technical Structure:
The analysis started with classic price action review: Gold was approaching a significant demand zone, a well-established area that has historically triggered institutional buying.
Step 2️⃣ – COT Index Confirmation:
Upon reviewing the COT Index, the data revealed a 312-week buying extreme—the most aggressive commercial buying seen in over six years, signaling strong institutional accumulation.
Step 3️⃣ – COT Net Positions Validation:
Next, the COT Net Position Indicator showed that commercials were holding their largest net-long position in over 15 years—a rare and powerful signal of institutional conviction.
Step 4️⃣ – Divergence Check:
For added confirmation, divergence between commercials and retail traders was assessed:
✅ Commercials: Strongly net-long.
❌ Retail traders: Heavily net-short.
This clear divergence between smart money and retail sentiment further validated the setup.
Step 5️⃣ – Trade Execution:
With everything aligned:
Demand zone identified,
312-week COT Index extreme,
15-year high in net positions,
Divergence between commercials and retail,
…the trade was entered with a stop-loss placed just below the demand zone and a target set at a significant prior high. The result: a risk-reward ratio of 1:14.8, reflecting the strength and precision of the setup.
⚙️ What Sets This Tool Apart:
Provides deep insight into institutional exposure, showing both the magnitude of positions and how they evolve over time.
Enhances decision-making by cross-validating positioning extremes with technical levels.
Flexible design allows use across multiple asset classes and timeframes.
📌 Best Practices:
Always pair COT Net Position data with the COT Index to gauge both relative and absolute strength.
Use in conjunction with demand/supply zones or key technical levels for the strongest setups.
Look for divergence signals (institutions vs. retail) to confirm potential reversals.
Indicators Used in the Example:
This trade combined:
🧠 COT Net Position Indicator – to measure institutional exposure.
📊 COT Index – to identify positioning extremes.
📅 Seasonality Forecasting Tool – for time-based confirmation.
Together, these indicators provided a robust, multi-layered framework for high-confidence trading decisions.
OTC - COT Net positions 2.0 COT Net Position Indicator – Institutional Commitment & Position Sizing (Inspired by Bernd Skorupinski Methodology)
📈 Description:
This indicator focuses on visualizing net positions held by commercials (smart money) and other key market participants, using data from the Commitments of Traders (COT) report. Inspired by Bernd Skorupinski’s institutional approach, the tool works hand-in-hand with the COT Index to provide a full picture of institutional sentiment and positioning strength.
👉 Core Functionality:
Displays net-long and net-short positions over time, helping traders understand how heavily institutions are positioned in a market.
Highlights historical extremes in net positions, which can act as warning signs or entry points when combined with technical analysis.
Supports customizable timeframes and asset selection (commodities, forex, indices) for maximum flexibility.
Best used in combination with the COT Index, offering a layered view of both relative extremes (COT Index) and absolute exposure (Net Positions).
The tool is designed to act as a contextual filter—it should complement technical setups rather than provide standalone trade signals.
📊 Applied Example – Gold Trade Using COT Net Position Analysis
To show the practical application, here’s a breakdown of a Gold (GC1!) trade that leveraged both COT Index and COT Net Positions to identify a high-probability setup.
Step 1️⃣ – Identifying Technical Structure:
The analysis started with classic price action review: Gold was approaching a significant demand zone, a well-established area that has historically triggered institutional buying.
Step 2️⃣ – COT Index Confirmation:
Upon reviewing the COT Index, the data revealed a 312-week buying extreme—the most aggressive commercial buying seen in over six years, signaling strong institutional accumulation.
Step 3️⃣ – COT Net Positions Validation:
Next, the COT Net Position Indicator showed that commercials were holding their largest net-long position in over 15 years—a rare and powerful signal of institutional conviction.
Step 4️⃣ – Divergence Check:
For added confirmation, divergence between commercials and retail traders was assessed:
✅ Commercials: Strongly net-long.
❌ Retail traders: Heavily net-short.
This clear divergence between smart money and retail sentiment further validated the setup.
Step 5️⃣ – Trade Execution:
With everything aligned:
Demand zone identified,
312-week COT Index extreme,
15-year high in net positions,
Divergence between commercials and retail,
…the trade was entered with a stop-loss placed just below the demand zone and a target set at a significant prior high. The result: a risk-reward ratio of 1:14.8, reflecting the strength and precision of the setup.
⚙️ What Sets This Tool Apart:
Provides deep insight into institutional exposure, showing both the magnitude of positions and how they evolve over time.
Enhances decision-making by cross-validating positioning extremes with technical levels.
Flexible design allows use across multiple asset classes and timeframes.
📌 Best Practices:
Always pair COT Net Position data with the COT Index to gauge both relative and absolute strength.
Use in conjunction with demand/supply zones or key technical levels for the strongest setups.
Look for divergence signals (institutions vs. retail) to confirm potential reversals.
Indicators Used in the Example:
This trade combined:
🧠 COT Net Position Indicator – to measure institutional exposure.
📊 COT Index – to identify positioning extremes.
📅 Seasonality Forecasting Tool – for time-based confirmation.
Together, these indicators provided a robust, multi-layered framework for high-confidence trading decisions.
SMT Divergences By RootkitHow It Works:
Heikin Ashi Smoothing
Instead of using raw OHLC price data, the script applies Heikin Ashi smoothing to reduce noise and better identify pivot highs and lows.
Pivot Detection
It looks for local swing highs and lows using a user-defined lookback period (Pivot Lookback). These are used to detect potential divergences.
SMT Divergence Logic
An SMT divergence is identified when:
A pivot low occurs on the main chart.
But one or more of the comparison symbols makes a higher low instead (or lower high for bearish SMT).
This signals a disagreement between instruments, often attributed to smart money accumulation or distribution.
Trend Filter
To reduce false signals, the script only allows:
Buy signals during an uptrend
Sell signals during a downtrend
The trend is determined by comparing Heikin Ashi highs/lows to previous bars.
Signal Markers
BUY labels appear below bars at valid bullish SMT divergences.
SELL labels appear above bars at valid bearish SMT divergences.
Optional trend lines visually connect the last significant pivot to the current one.
⚙️ Inputs:
Pivot Lookback – Number of bars for swing high/low detection.
Symbol A/B/C – Up to 3 comparison symbols (futures, indices, etc.).
Toggle Each Symbol – Enable or disable any comparison ticker.
Custom Colors – Choose your own line colors for buy/sell signals.
🧠 Why It Matters:
SMT divergence is used by professional traders to spot early signs of accumulation/distribution, often before price reverses. This script helps you detect these signals automatically while keeping them filtered by overall market trend.
Volume Peak Bars 3.0Indicator highlights the range starting at the highest volume bar. Customizable to your desired time frame. High volume bars tend to give good levels of liquidity ie. Support/Resistance. This indicator follows the same idea as Opening Range Breakout theories - Break Outs of this area with retests or entries into this range tend to give good trade ideas.
Multi-Timeframe Golden CrossOverview
The Multi-Timeframe Golden Cross Indicator is a powerful tool for traders seeking to identify trend changes using the classic Golden Cross and Death Cross strategy. It tracks the 50-period Exponential Moving Average (EMA) crossing the 200-period EMA across three timeframes—4-hour (4h), 1-hour (1h), and 15-minute (15m)—all displayed on your chosen chart. Bullish crosses (50 EMA above 200 EMA) are marked with green shapes, while bearish crosses (50 EMA below 200 EMA) are marked with red shapes, making it easy to spot potential buy and sell signals.
Designed for swing traders, day traders, and long-term investors, this indicator helps you confirm trends across multiple timeframes, enhancing your trading decisions with clear, visual cues.
How It Works
• Golden Cross (Bullish): When the 50 EMA crosses above the 200 EMA, a green shape appears below the price bar, signaling a potential uptrend.
• Death Cross (Bearish): When the 50 EMA crosses below the 200 EMA, a red shape appears above the price bar, signaling a potential downtrend.
• Multi-Timeframe Signals:
• 4h Timeframe: Green/red triangles indicate stronger, longer-term trends.
• 1h Timeframe: Green/red circles highlight medium-term trends.
• 15m Timeframe: Green/red diamonds show short-term trends.
• Chart EMAs: The indicator plots the 50 EMA (blue) and 200 EMA (orange) on your chart’s native timeframe for trend context.
Key Features
• Displays 4h, 1h, and 15m Golden/Death Cross signals on any chart timeframe.
• Distinct shapes (triangle, circle, diamond) and colors (green for bullish, red for bearish) for easy timeframe identification.
• Customizable EMA periods (default: 50 and 200) to suit your trading style.
• Overlays the 50 EMA and 200 EMA on your chart for visual trend confirmation.
Setup Instructions
1. Add the Indicator:
• Open TradingView’s Pine Editor (bottom panel).
• Copy and paste the script provided below.
• Click Save, name the indicator (e.g., “MTF Golden Cross”), and click Add to Chart.
2. Check the Chart:
• Green/red shapes will appear for crosses on 4h, 1h, and 15m timeframes.
• Blue (50 EMA) and orange (200 EMA) lines will show on your chart’s timeframe.
3. Customize (Optional):
• Click the indicator’s Settings (gear icon) in the chart legend.
• Adjust EMA 50 Length (default: 50) or EMA 200 Length (default: 200).
4. Choose a Timeframe:
• Use any chart timeframe (e.g., 5m, 1h, 1D). For best results, align the chart timeframe with your trading horizon (e.g., 1h for swing trading).
Interpreting Signals
• Bullish (Green Shapes):
• 4h Triangle: Strong buy signal for longer-term trends.
• 1h Circle: Buy signal for swing trading.
• 15m Diamond: Short-term buy signal for scalping or day trading.
• Action: Consider entering a long position, especially if multiple timeframes align (e.g., 4h and 1h bullish).
• Bearish (Red Shapes):
• 4h Triangle: Strong sell signal for longer-term trends.
• 1h Circle: Sell signal for swing trading.
• 15m Diamond: Short-term sell signal.
• Action: Consider exiting longs or entering shorts, with confirmation from higher timeframes.
• Trend Confirmation: Use the chart’s 50 EMA (blue) and 200 EMA (orange) to verify the trend direction. Stronger signals occur when multiple timeframes show the same cross direction.
Trading Tips
• Confirm with Other Tools: Pair the indicator with support/resistance, RSI, or volume for better accuracy.
• Focus on Trends: The Golden Cross works best in trending markets. Avoid relying on signals in choppy or sideways conditions.
• Use Multi-Timeframe Alignment: A 4h bullish cross combined with a 1h or 15m bullish cross is a stronger buy signal.
• Backtest First: Test the indicator on your asset and timeframe to understand its performance.
• Risk Management: Always use stop-loss orders and proper position sizing to protect your capital.
Customization Options
• Adjust EMA Periods: Change the 50 EMA or 200 EMA lengths in the settings to make signals more sensitive (shorter periods) or smoother (longer periods).
• Set Alerts:
• Click the Alert icon (bell) in TradingView.
• Select the indicator and create alerts for specific crosses (e.g., “4h Bullish Cross”).
• Modify Visuals: Edit the script’s plotshape lines to change shapes (e.g., shape.square) or colors (e.g., color.blue).
Limitations
• Lagging Nature: EMAs are lagging indicators, so signals may delay in fast markets.
• False Signals: Crosses in choppy markets can lead to false positives. Confirm with other indicators.
• Timeframe Noise: 15m signals are noisier than 4h signals, so prioritize higher timeframes for reliability.
Why Use This Indicator?
This indicator simplifies multi-timeframe analysis, allowing you to monitor short-term and long-term trends without switching charts. Whether you’re a day trader chasing 15m signals or a swing trader focusing on 4h trends, the clear visual cues and customizable settings make it a versatile addition to your trading toolkit.
Feedback Welcome
I’d love to hear your thoughts! Leave a comment with suggestions or share how you’re using the indicator. If you encounter issues or need a Pine Script v5 version for compatibility, let me know in the comments. Happy trading!
OTC Seasonal forecasting tool 2.0Seasonality Forecasting Tool – Advanced Seasonal Pattern Analysis (Inspired by Bernd Skorupinski Methodology)
📈 Description:
This script provides a structured way to analyze seasonal trends across financial markets, helping traders identify historical patterns that tend to repeat at specific times of the year. Inspired by Bernd Skorupinski’s institutional strategy, it has been refined with enhanced smoothing and customization options to improve adaptability across asset classes like commodities, forex, and indices.
👉 Core Functionality:
Analyzes historical price data over multiple lookback periods (5, 10, and 15 years) to calculate average seasonal performance.
Generates a smoothed seasonal curve that visually highlights periods of expected strength or weakness.
Allows users to customize lookback periods and adjust smoothing parameters, offering flexibility based on market type and volatility.
This tool is designed to be used as a contextual filter rather than a trade trigger—adding a layer of time-based confluence to enhance decision-making.
📊 Applied Example – Crude Oil Seasonality & Demand Zone Alignment
To demonstrate practical usage, here’s an example using Light Crude Oil Futures (CL1!) where seasonal tendencies and price structure aligned to create a high-probability setup.
Setup Steps:
1️⃣ Structural Context – Price Reaching a Demand Zone:
The market had been in a decline and approached a well-defined institutional demand area, which historically attracts buying interest.
2️⃣ Seasonality Analysis – Bullish Bias Identified:
The Seasonality Tool was applied using three distinct lookback windows:
5-year average 🟢
10-year average 🔴
15-year average 🔵
All three seasonal curves showed consistent upward trends during the late December to February period, historically signaling accumulation phases in crude oil markets.
3️⃣ Execution – Trade Setup:
With both:
Price action confirming a technical demand zone,
and seasonality indicating a strong historical bullish period,
a long position was taken targeting the next significant supply zone.
Result:
The trade unfolded as anticipated, with price rebounding strongly and delivering a risk-reward ratio of approximately 1:5.8—an outcome consistent with historical seasonal performance patterns.
⚙️ What Sets This Tool Apart:
Combines multi-timeframe seasonal data into a unified, easy-to-interpret visual output.
Includes custom smoothing algorithms to reduce noise, making the seasonal curves clearer and more reliable in fast-moving markets.
Offers flexibility to analyze not only commodities but also forex, indices, and other instruments influenced by recurring cycles (e.g., agricultural products, metals).
📌 Best Practices for Use:
Apply the tool alongside key technical zones (demand/supply) to find optimal trade timing.
Look for confluence across at least two of the seasonal curves (e.g., 5-year and 10-year averages agreeing on direction).
Use in combination with other market analysis tools—such as valuation indicators, COT data, or smart money flow—for full confirmation.
OTC valuation indicator 2.0Valuation Indicator – Relative Asset Valuation Tool (Inspired by Bernd Skorupinski Methodology)
📈 Description:
This script is designed to analyze relative value shifts between two assets—such as Gold (GC1!) and the Dollar Index (DXY)—to identify overvalued and undervalued market conditions. It is inspired by principles from Bernd Skorupinski’s methodology but has been developed with custom adjustments and improvements to enhance flexibility and adaptability across various asset classes.
👉 How It Works:
The script calculates a normalized valuation index by measuring the percentage price deviation between a target asset (e.g., Gold) and a reference asset (e.g., Dollar Index).
A moving average baseline defines fair value, with deviations indicating potential overvaluation or undervaluation.
A volatility-adjusted filter dynamically smooths the output, reducing noise and improving signal accuracy across different market environments.
Parameters such as evaluation period and sensitivity are fully customizable, allowing traders to tailor the tool to commodities, forex, indices, or other asset pairs.
📊 Detailed Example – Gold & Dollar Index Setup:
To demonstrate how the indicator can be used, here’s an example based on a real market scenario:
Context : Identifying high-probability buy setups on Gold when undervaluation is confirmed relative to the Dollar Index.
Conditions :
1️⃣ Gold enters a significant demand zone (identified through traditional technical analysis).
2️⃣ The valuation index (from this script) drops below the -75 level, signaling strong undervaluation
In both October 2022 and October 2023, the valuation index dropped well below -75, and Gold was sitting at major demand zones. The result?
📈 Massive moves to the upside, with Risk-Reward ratios hitting 1:4 or more.
snapshot
This is a textbook Bernd Skorupinski strategy setup, combining macro fundamentals (valuation) with technical structure (demand zones).
This is not just theory — the same conditions repeated multiple times, delivering repeatable, high-probability trades.
This showcases how macro mispricing (Dollar overvalued, Gold undervalued) can be identified visually and quantitatively using the indicator, enabling traders to make more confident, data-backed entry decisions.
⚙️ What Makes It Unique:
Unlike standard correlation or spread indicators, this script combines dynamic volatility filtering with a multi-step comparative analysis to better handle market volatility and price extremes.
It offers flexible asset pairing, allowing traders to adapt the tool to various market scenarios beyond just Gold/DXY—such as Oil vs. Euro or Stocks vs. Forex.
📌 Recommended Use:
Best applied on weekly and daily charts.
Should be combined with other technical tools such as support/resistance levels or demand zones for added confirmation.
Not intended as a standalone signal; it works best as part of a broader market analysis strategy.
BLCKBOX StochasticAnother dirty indicator that is based on the Trading View Stochtastic indicator with the addition of directional arrow indicators that show the anticipated price direction (up/down).
I have released several indicators that can be used in conjunction to hopefully improve your chances of making a ton of money!
BLCKBOX indicators include;
BLCKBOX Buying / Selling Sentiment
BLCKBOX MACD Indicator
BLCKBOX Relative Strength Index
BLCKBOX Crypto Bear Market Prediction
BLCKBOX Stochtastic
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Hull Moving Average with Cloud📈 Hull Moving Average with Cloud – Adaptive Trend Visualization
This indicator combines the power of the Hull Moving Average (HMA) with a visual signal line and trend cloud, giving traders a clearer view of market direction, momentum shifts, and potential reversals.
🔍 Key Features:
Dynamic HMA Length (optional): Adjusts the HMA period based on ATR volatility, allowing the moving average to adapt to changing market conditions.
Custom Smoothing Options: Smooth the main HMA with your choice of SMA, EMA, or WMA for a tailored trend line.
Signal Line (Orange HMA): A shorter-period Hull MA that acts as a trigger line for crossovers and trend changes.
Color-Coded Trend Cloud:
🟩 Green Cloud: Bullish – main HMA is above the signal HMA.
🟥 Red Cloud: Bearish – main HMA is below the signal HMA.
Real-Time Trend Coloring: Both lines dynamically change color based on slope (green for rising, red/purple for falling).
Offset Capability: Shift the HMA forward to visualize trend development and potential future direction.
✅ Use Cases:
Identify trend direction with cloud coloration.
Spot early reversals through HMA crossover signals.
Filter trades with volatility-aware moving average responsiveness.
ConeCastConeCast is a forward-looking projection indicator that visualizes a future price range (or "cone") based on recent trend momentum and adaptive volatility. Unlike lagging bands or reactive channels, this tool plots a predictive zone 3–50 bars ahead, allowing traders to anticipate potential price behavior rather than merely react to it.
How It Works
The core of ConeCast is a dynamic trend-slope engine derived from a Linear Regression line fitted over a user-defined lookback window. The slope of this trend is projected forward, and the cone’s width adapts based on real-time market volatility. In calm markets, the cone is narrow and focused. In volatile regimes, it expands proportionally, using an ATR-based % of price to scale.
Key Features
📈 Predictive Cone Zone: Visualizes a forward range using trend slope × volatility width.
🔄 Auto-Adaptive Volatility Scaling: Expands or contracts based on market quiet/chaotic states.
📊 Regime Detection: Identifies Bull, Bear, or Neutral states using a tunable slope threshold.
🧭 Multi-Timeframe Compatible: Slope and volatility can be calculated from higher timeframes.
🔔 Smart Alerts: Detects price entering the cone, and signals trend regime changes in real time.
🖼️ Clean Visual Output: Optionally includes outer cones, trend-trail marker, and dashboard label.
How to Use It
Use on 15m–4H charts for best forward visibility.
Look for price entering the cone as a potential trend continuation setup.
Monitor regime changes and volatility expansion to filter choppy market zones.
Tune the slope sensitivity and ATR multiplier to match your symbol's behavior.
Use outer cones to anticipate aggressive swings and wick traps.
What Makes It Unique
ConeCast doesn’t follow price — it predicts a possible future price envelope using trend + volatility math, without relying on lagging indicators or repainting logic. It's a hybrid of regression-based forecasting and dynamic risk zoning, designed for swing traders, scalpers, and algo developers alike.
Limitations
ConeCast projects based on current trend and volatility — it does not "know" future price. Like all projection tools, accuracy depends on trend persistence and market conditions. Use this in combination with confirmation signals and risk management.
Heptadex-17 PrimeHeptadex-17 Prime is a precision-built signal generator designed for traders who want high-conviction option entries with minimal noise. This proprietary algorithm analyzes a confluence of five key market factors — VWAP tier positioning, MACD momentum shifts, volume anomalies, RSI compression zones, and weekly cycle dynamics — to generate directional trade signals (CALL or PUT) when the probability of success exceeds a customizable threshold.
Inspired by modular volatility theory, the algorithm discretizes price behavior into 17 unique “pressure states” and triggers alerts only when conditions are statistically aligned. A built-in Friday weighting system further increases signal quality heading into weekly option expirations.
🔹 Built for single-leg options, scalps, or directional momentum plays
🔹 Alerts fire only on strong confluence (default score threshold: 75)
🔹 Visual signals appear as CALL/PUT tags on the chart
🔹 Works best on SPY, QQQ, AAPL, NVDA, TSLA, and other high-volume tickers
Whether you trade 0DTEs or swing overnight, Heptadex-17 Prime gives you a structured edge with minimal screen time.
*Use responsibly. This is not financial advice.*
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MA Crossover with Adaptive Trend Strength📘 MA Crossover with Adaptive Trend Strength —
📌 Overview
This TradingView indicator plots two moving averages (Fast & Slow) with user-selected types (T3, EMA, SMA, HMA), visual crossovers, and dynamically calculates an adaptive trend strength score using Z-scores of multiple features. Optional higher timeframe (HTF) confirmation is supported. A color-filled region between the MAs visually indicates momentum direction.
⚙️ Inputs & Controls
📈 Moving Average Settings
Fast MA Length: Length of the fast-moving average (default: 9).
Slow MA Length: Length of the slow-moving average (default: 21).
MA Type: Type of moving average used (T3, EMA, SMA, HMA).
Source: Input data source (default: close).
T3 Volume Factor: Only used when T3 is selected, controls smoothing (range: 0–1).
🎨 Visual Controls
Bullish Fill Color: Fill color when Fast MA is above Slow MA.
Bearish Fill Color: Fill color when Fast MA is below Slow MA.
Show Gradient Fill: Enable or disable the colored area between Fast & Slow MAs.
Trend Label Position: Choose where the trend strength label appears (top or bottom).
Label Update Interval: Number of bars between label updates (reduces clutter).
⏱ Multi-Timeframe Support
Higher Timeframe: Timeframe used for confirmation (default: 60 min).
Use HTF Confirmation: Enables filtering of trend score by higher timeframe trend direction.
📊 Lookback Configuration
Auto Lookback Based on Timeframe: Dynamically adapts scoring lookback period per chart timeframe.
Manual Lookback: Manual fallback lookback length when auto is off.
🧮 MA Calculation Options
T3 MA: Custom T3 function with exponential moving averages and volume factor.
EMA/SMA: Built-in Pine functions (ta.ema, ta.sma).
HMA: Hull Moving Average using WMA calculations.
📉 Trend Strength Calculation
🧠 Z-Score Inputs
Distance between MAs (zDist)
Slope of the Fast MA (zSlope)
Volume (zVol)
ATR (zATR)
📏 Choppiness & Adaptive Weighting
A Choppiness Index (based on ATR & price range) reduces score impact in sideways markets.
Dynamically adjusts Z-score weights:
W1: Distance
W2: Slope
W3: Volume
W4: ATR
🔁 HTF Confirmation
Optionally multiplies the trend score by the direction of the higher timeframe trend to filter noise.
🟩 Plot & Visual Elements
📊 MA Lines
Plots Fast and Slow MA lines in colors based on selected MA type.
🌈 Gradient Fill
Fills the area between Fast and Slow MAs with opacity proportional to their difference.
Colors based on bullish/bearish condition.
🏷️ Trend Strength Label
Updates every n bars (Label Update Interval).
Shows:
Trend Classification: Weak, Moderate, Strong
Numerical Score
Label position (top or bottom) is configurable.
🔔 Crossover Signals
Bullish Crossover ("B"): Fast MA crosses above Slow MA.
Bearish Crossover ("S"): Fast MA crosses below Slow MA.
Labels are plotted at crossover points.
Old labels are removed after a threshold (100) to reduce chart clutter.
📋 Score Summary Table
A table showing:
Max Score within the lookback period
Min Score
HTF Confirmation Status (ON / OFF)
Updates on the same user-defined interval as the trend label.
🚨 Alerts
Condition Description
Bullish MA Cross Fast MA crosses above Slow MA
Bearish MA Cross Fast MA crosses below Slow MA
These are provided via alertcondition() for use in alert creation.
📌 Customization Tips
Turn off the gradient fill for a cleaner chart.
Use HTF confirmation to reduce false positives in ranging markets.
Adjust label update frequency to prevent visual clutter on faster timeframes.
Use T3 MA with volume factor for smoother signals in volatile markets.
Central Bank Assets YoY % with StdDev BandsCentral Bank Assets YoY % with StdDev Bands - Indicator Documentation
Overview
This indicator tracks the year-over-year (YoY) percentage change in combined central bank assets using a custom formula. It displays the annual growth rate along with statistical bands showing when the growth is significantly above or below historical norms.
Formula Components
The indicator is based on a custom symbol combining multiple central bank balance sheets:
Federal Reserve balance sheet (FRED)
Bank of Japan assets converted to USD (FX_IDC*FRED)
European Central Bank assets converted to USD (FX_IDC*FRED)
Subtracting Fed reverse repo operations (FRED)
Subtracting Treasury General Account (FRED)
Calculations
Year-over-Year Percentage Change: Calculates the percentage change between the current value and the value from exactly one year ago (252 trading days).
Formula: ((current - year_ago) / year_ago) * 100
Statistical Measures:
Mean (Average): The 252-day simple moving average of the YoY percentage changes
Standard Deviation: The 252-day standard deviation of YoY percentage changes
Display Components
The indicator displays:
Main Line: YoY percentage change (green when positive, red when negative)
Zero Line: Reference line at 0% (gray dashed)
Mean Line: Average YoY change over the past 252 days (blue)
Standard Deviation Bands: Shows +/- 1 standard deviation from the mean
Upper band (+1 StdDev): Green, line with breaks style
Lower band (-1 StdDev): Red, line with breaks style
Interpretation
Values above zero indicate YoY growth in central bank assets
Values below zero indicate YoY contraction
Values above the +1 StdDev line indicate unusually strong growth
Values below the -1 StdDev line indicate unusually severe contraction
Crossing above/below the mean line can signal shifts in central bank policy trends
Usage
This indicator is useful for:
Monitoring global central bank liquidity trends
Identifying unusual periods of balance sheet expansion/contraction
Analyzing correlations between central bank activity and market performance
Anticipating potential market impacts from changes in central bank policy
The 252-day lookback period (approximately one trading year) provides a balance between statistical stability and responsiveness to changing trends in central bank behavior.
